"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
Emma Harvey, Allison Koenecke, Rene F. Kizilcec

TL;DR
This study explores the perceived harms of large language models in education, highlighting differences between edtech providers and educators, and offers recommendations to better incorporate educator perspectives in edtech development.
Contribution
It provides an education-specific framework for understanding LLM-related harms and emphasizes the need to center educators in edtech design and assessment.
Findings
Edtech providers focus on technical harms measurable by LLM outputs.
Educators are more concerned with broader, interaction-based harms.
Gaps exist between provider and educator perceptions of harm.
Abstract
Education technologies (edtech) are increasingly incorporating new features built on large language models (LLMs), with the goals of enriching the processes of teaching and learning and ultimately improving learning outcomes. However, the potential downstream impacts of LLM-based edtech remain understudied. Prior attempts to map the risks of LLMs have not been tailored to education specifically, even though it is a unique domain in many respects: from its population (students are often children, who can be especially impacted by technology) to its goals (providing the correct answer may be less important for learners than understanding how to arrive at an answer) to its implications for higher-order skills that generalize across contexts (e.g., critical thinking and collaboration). We conducted semi-structured interviews with six edtech providers representing leaders in the K-12 space,…
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Taxonomy
TopicsEducator Training and Historical Pedagogy
